2484 Data Quality Jobs - Page 28

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain robust data pipelines to support data processing and analytics.- Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes for data migration and transformation.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain robust data pipelines to support data processing and analytics.- Collaborate with data scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes for data migration and transformation.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Kafka, Apache Airflow, and cloud platforms such as AWS or Azure.- Strong understanding of data modeling and database design principles.- Experience with SQL and NoSQL databases for data storage and retrieval.- Familiarity with data warehousing concepts and tools. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data pipeline orchestration tools such as Apache Airflow or similar.- Strong understanding of ETL processes and data warehousing concepts.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data pipeline orchestration tools such as Apache Airflow or similar.- Strong understanding of ETL processes and data warehousing concepts.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in computer science, Supply Chain, Information Systems, or related field. Minimum of 5-7 years of experience in Master Data Management or related field. 3-5 years SAP experience / ERP experience required with strong exposure to at least two of the functional areas described above – Proven experience in leading an MDM team. Strong knowledge of data governance principles, best practices, and technologies. – Experience with data profiling, cleansing, and enrichment tools. Ability to work with cross-functional teams to understand and address their master data needs. Proven ability to build predictive analytics tools using PowerBI, Spotfire or otherwise Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Job Description: Essential Job Functions: Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure. Collaborate with team members to support data collection and integration. Contribute to data quality and security efforts. Analyze data using data engineering tools and techniques. Collaborate with data engineers and analysts on data-related projects. Pursue opportunities to enhance data engineering skills and knowledge. Stay updated on data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications (a plus): Advanced degree in a relevant field a plus Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

At Broadridge, weve built a culture where the highest goal is to empower others to accomplish more. If you re passionate about developing your career, while helping others along the way, come join the Broadridge team. 1. 6-10 years of experience as a Product Owner, with demonstrated expertise in managing complex data elements across multiple products. 2. Capable of defining and communicating a clear vision for data products, ensuring alignment with the organizations priorities and goals. 3. Collaborate with multiple cross-functional teams - including engineering, product and business SMEs - to gather and understand their data needs and translate them into actionable requirements. 4. Design and implement a robust, scalable, and transparent intake process for collecting, evaluating, prioritizing, and tracking data-related requests from across the organization. 5. Own the product backlog, ensuring stories and tasks are clear, complete, and prioritized according to business value and technical feasibility. 6. Partner with technical teams to deeply understand source systems, data models, data pipelines, data quality, and data governance issues. Facilitate discussions around data architecture, accessibility, and integration. 7. Define clear, comprehensive user stories and acceptance criteria based on business and technical requirements, especially for complex data use cases and integrations. 8. Ensure effective communication and change management practices are in place as data products evolve and are rolled out to users. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company and ultimately a community that recognizes and celebrates everyone s unique perspective.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role will be responsible for the below: The Senior Data Engineer will be responsible for designing, building, and managing the data infrastructure and data pipeline processes for the bank. This role involves leading a team of data engineers, working closely with data scientists, analysts, and IT professionals to ensure data is accessible, reliable, and secure. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a thorough understanding of the banking industrys data requirements. Leadership and Team Management . Lead, mentor, and develop a team of data engineers. Establish best practices for data engineering and ensure team adherence. Coordinate with other IT teams, business units, and stakeholders. Data Pipelines Integration and Management: Design and implement scalable data architectures to support the banks data needs. Develop and maintain ETL (Extract, Transform, Load) processes. Ensure the data infrastructure is reliable, scalable, and secure. Oversee the integration of diverse data sources into a cohesive data platform. Ensure data quality, data governance, and compliance with regulatory requirements. Develop and enforce data security policies and procedures. Monitor and optimize data pipeline performance. Troubleshoot and resolve data-related issues promptly. Implement monitoring and alerting systems for data processes Requirements To be successful in this role, you should meet the following requirements: (Must have Requirements) 8+ years of experience in data engineering or related field Strong experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark) Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services. Deep understanding of ETL processes and data pipeline orchestration tools (Airflow, Apache NiFi). Knowledge of data modeling, data warehousing concepts, and data integration techniques. Strong problem-solving skills and ability to work under pressure. Excellent communication and interpersonal skills. Experience in the banking or financial services industry. Familiarity with regulatory requirements related to data security and privacy in the banking sector. Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc. ). Experience with machine learning and data science frameworks Location : Pune and Bangalore

You are a strategic thinker passionate about driving solutions in external reporting. You have found the right team. As an External Reporting Analyst in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. You will be responsible for overseeing the financial statements and management reporting, ensuring a sound control environment. Your role involves understanding and applying accounting treatments, ensuring compliance with corporate and regulatory requirements, coordinating the preparation of quarterly regulatory requirements, validating balance sheet items, and understanding balance sheet usage and reporting. Job Responsibilities Consolidate, review, and analyze quarterly financial data for accuracy and completeness; perform quarter-over-quarter variance analytics Coordinate data collection and quarterly business results with various lines of business, Regulatory Controllers and SEC reporting teams Communicate financial information to the lines of businesses, and flag potential issues Adhere to proof control procedures to ensure accurate reconciliation between regulatory filings, SEC filings and other published financial reports (e. g. , Form 10-Q, Annual Report/Form 10-K, Call Report FR Y-9C, Pillar III, etc) Adhere to various control procedures and edit checks to ensure the integrity of reported financial results Establish and manage relationships with the line of business as well as with external regulatory agency constituents through ongoing partnership and dialogue Participate in continuous improvement effort around data quality review and external reporting improvement projects Required qualifications, capabilities, and skills Chartered Accountant/ MBA with minimum 1 year experience Finance organization exposure to accounting, financial statements, and/or regulatory reporting Strong skills in time management, problem solving, written and oral communication Team player, with ability to work effectively across diverse functions, locations and businesses Excellent Excel and computer skills Strong analytical skills Preferred qualifications, capabilities, and skills Extremely strong organizational and time management skills Experience in Product Control, Financial Control or knowledge of SEC reporting/Reg reporting a plus Bachelors degree in Accounting or Finance

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Data Migration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. Your role will be pivotal in driving the success of application development initiatives and fostering a collaborative environment. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Data Migration.- Strong understanding of data migration strategies and best practices.- Experience with data mapping and transformation processes.- Familiarity with SAP modules and their integration points.- Ability to troubleshoot and resolve data-related issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in SAP Data Migration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Oil & Gas Secondary Distribution Good to have skills : Energy FundamentalsMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Oil & Gas Secondary Distribution- Good To Have Skills: Experience with Energy Fundamentals- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP for Oil & Gas Secondary Distribution- This position is based at our Hyderabad office- A 15 years full-time education is require Qualification 15 years full time education

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: Data Architecture Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation:As a Data & AI Technology Manager specializing in .NET, Azure, and GCP at Accenture India, you will lead cross-functional teams to design and implement innovative data solutions that drive business transformation for our clients. Your expertise in cloud services, data management, HR technologies, and AI-driven solutions will be pivotal in delivering high-quality projects aligned with client objectives. Additionally, you will leverage your understanding of key Talent and HR domains to design data-driven workforce solutions that enhance employee experience, optimize talent strategies, and drive business growthKey Responsibilities:Project Leadership:Oversee the end-to-end delivery of data engineering projects, ensuring solutions are scalable, secure, and meet performance standards.Technical Expertise:Utilize deep knowledge of .NET frameworks, ACloud & Containers:Leverage expertise in containerization technologies such as Kubernetes and Docker to optimize cloud-based deployments and ensure high availability.Client Engagement:Collaborate with clients to gather requirements, provide strategic insights, and translate business needs into technical solutions.Team Management:Lead and mentor a team of data engineers and developers, fostering a culture of continuous learning and innovation.Quality Assurance:Implement best practices in data management, including data quality, governance, and security protocols.Innovation and Strategy:Stay abreast of industry trends and emerging technologies to drive the adoption of cutting-edge data solutions and maintain a competitive edge.Enterprise Architecture:Review and integrate all application requirements, including functional, security, integration, pe What are we looking for ASP.NET MVCMicrosoft Azure DevOpsAdaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 12 years of experience required, technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 12 years of experience required Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

Report and analyze finance and operational data from multiple sources to drive decision-making. Utilize Power BI for data visualization (DAX, M language). Normalize and manage various data sets for accuracy and future impact assessment. Collaborate with teams to enhance dashboard automation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience in Reporting and data analytics. Advanced Power BI skills. Advanced SQL knowledge Python knowledge for automation is a plus. Strong analytical skills with a focus on data quality. Preferred technical and professional experience Good Communication skills Understand the data model and how the database works (primary + foreign key, relations) Able to read and edit HTML/CSS code Basics of SQL Salesforce Marketing Cloud knowledge

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, data quality, and data integration principles.

Overview The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team’s research is focused on climate-related metrics including carbon emissions, energy performance, climate change targets and commitments and other relevant sector specific data, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Responsibilities Procuring and processing information about globally listed companies such as Using multiple sources: lengthy annual reports, CSR reports, websites, quantitative data feeds, web crawlers Types of information: quantitative data, key performance indicators Topics or subject matters: traditional financial risk, corporate governance and sustainability Types of analysis: rules-based, subjective analysis, written summaries Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. You are expected to address queries from internal and external users pertaining to Climate data, reconciling data challenges, training users on methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies’ carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores Drive coverage and content expansion projects defined by the business. Update and refine industry assessment guides for data collectors and internal analysts Design and implement process improvements and QA checks to ensure consistent data quality and efficiency Contribute to working committees, projects, or perform other tasks as deemed necessary by the business. Qualifications Bachelor's/ Master’s degree in finance, statistics, sustainability, environmental science, oil and gas engineering, Power management Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 3-4 years working experience in Energy (Oil & Gas) or Power or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable (Power BI/ Tableau/ Python/SQL) Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. Anticipate problems and opportunities, and adapt to new challenges. Ability to work with multiple stakeholders in a collaborative global team environment. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Title: SAP Project Manager Location: Remote (India) Duration: 12 Months Job Type: Contract Responsibilities Serve as project manager for end-to-end MDG design build: requirements gathering, data model configuration, workflows/UI setup, and stakeholder validation Oversee data conversion build: develop and manage mapping rules, templates, and migration programs Plan and oversee execution of data mock-load cycles: define schedule, success criteria, validate quality, and drive defect resolution Coordinate production cutover loads: extract, transform, load, validate, and reconcile legacy data for go-live and post-go-live support Develop and maintain the integrated project plan: highlight interdependencies across data, functional, technical streams, and downstream initiatives Govern data deliverables: manage enabling workstream outputs and third-party tools (ETL, data quality platforms), and produce steering-committee reports Identify, log, and escalate issues, risks, decisions, and change requests per governance framework Track budget, forecast spend, and coordinate resource planning with the PMO and external vendors Qualifications 5+ years of SAP S/4HANA data-migration MDG implementation experience, including hands-on configuration and conversion execution PMP or equivalent project management certification (preferred) and deep familiarity with PM tools (ADO, SmartSheet) Strong understanding of ETL processes, data reconciliation techniques, and data-quality frameworks Excellent verbal and written communication with proven ability to lead cross-functional, global teams and manage stakeholder expectations Demonstrated problem-solving skills and adaptability in high-pressure, matrixed environments Bachelor s degree in Computer Science, Information Systems, Business Administration, or a related field (Master s a plus)

Job Description As an MDM Technology Analyst (IC3), you will be responsible for supporting the implementation, maintenance, and enhancement of Master Data Management (MDM) solutions utilizing tools such as Reltio, Reltio Integration Hub (RIH), Informatica MDM, and SQL/Python scripting. This role will also involve working with MDM workflows, D&B/ZoomInfo/Salesforce connectors, and ensuring smooth integration across systems. You will collaborate with cross-functional teams to ensure data integrity, quality, and accessibility across the organization. Key Responsibilities: MDM Implementation & Configuration: Implement and configure MDM solutions using Reltio while ensuring alignment with business requirements and best practices. Develop and maintain data models, workflows, and business rules within the MDM platform. Work on Reltio Workflow (DCR Workflow & Custom Workflow) to manage data approvals and role-based assignments. Data Integration & Transformation: Support data integration efforts using Reltio Integration Hub (RIH) to facilitate data movement across multiple systems. Develop ETL pipelines using SQL, Python, and integration tools to extract, transform, and load (ETL) data. Work with D&B, ZoomInfo, and Salesforce connectors for data enrichment and integration. Data Quality & Governance: Perform data analysis and profiling to identify data quality issues and recommend solutions for data cleansing and enrichment. Collaborate with stakeholders to define and document data governance policies, procedures, and standards. Optimize MDM workflows to enhance data stewardship and governance. Stakeholder Collaboration & Support: Work closely with business teams, data stewards, and IT teams to understand and resolve MDM-related issues. Conduct user training and provide ongoing support to ensure successful adoption of MDM tools and processes. Stay updated on industry trends and emerging technologies in MDM, data integration, and data governance. Qualifications Education: B.E / B. Tech in Computer Science, Information Technology, or a related field. Experience: 5-8 years of experience working with Reltio MDM in a profe

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you re close but not an exact match, we encourage you to apply. We d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview The Technical Manager, Gallagher Benefit Services (GBS) should be able to manage large teams and provide day-to-day supervision to the technical leads and their teams for merger integration tasks and data analytics operations. Be able to maintain good relationship with all stakeholders, demonstrate excellent knowledge of client s requirement, ask relevant questions and gather project related information. Good experience in handling team of 10 to 15 members and providing managerial oversight and guidance. How youll make an impact Essential Duties and Responsibilities: Execution and Oversight: Proactively manage integration project plan(s) to deliver them in-scope, on-time and on-budget while enforcing checkpoints and managing and documenting change-control efforts Maintain an objective, fact-based perspective while overseeing projects. Encourage teams to promote project status transparency and proactively recommend opportunities to improve and support better project outcomes Review the quality of work completed with the project team and various work streams on a regular basis to ensure the work meets integration standards Ensure support organizations are prepared with properly documented instructions, workflows and job aides for a successful transition to ongoing/business as usual Ensure that integration activities are completed on-time, within budget and at the required level of quality as defined by project sponsors. Identify opportunities to modify current processes or procedures to reduce costs or improve productivity through observation, request or assignment Offshore coverage Service Level Agreement (SLA) requires that this resource work until 1:00 pm CT Communication & Change Management: Develop project status reports that accurately reflect the project achievements, risks and issues for all key stakeholders, including organizing and facilitating Project Steering Committees Promote use of project team shared sites or dashboards to ensure that all project management information is appropriately documented, secured and available to team members Best Practices Development: Identify opportunities to modify current processes or procedures to reduce costs or improve productivity through observation, request or assignment With each project, document lessons learned and develop improvements that can be moved to established repeatable processes for the future Make recommendations to senior leadership and other divisional stakeholders on how to develop systems, processes, and approaches that improve the integration experience and increase program effectiveness. Perform other duties as assigned. About you How youll make an impact Good knowledge and technical oversight in: Azure Data Factory Azure Data Lake Azure Data Studio Azure DevOps Azure Key Vault Azure Logic Apps Azure Portal Azure Synapse Analytics (Dedicated SQL/Serverless Pools) MS SQL Server Management Studio (SSMS) MS SharePoint SQL Familiarity with the following, a plus: Microsoft Dynamics 365 Salesforce Data Loader Salesforce UI Salesforce Workbench Experienced in data profiling and data quality assessment tools Experienced in data integration and ETL processes, including data ingestion, transformation, and loading data into GBS systems Familiarity with ETL Metadata Driven Frameworks Strong analytical and problem-solving skills, with the ability to analyze complex data Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience in resolving day-to-day challenges and providing alternative solutions Goal Setting and mentoring experience is a must Abide company policy and ethics Maintain good rapport with the team Innovate, Enhance existing projects Training and Supporting team members on technical and non-technical skills Additional Information We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the commu nities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out Th e Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color , religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics ) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. ","